Classifying human wellbeing values for planning the conservation and use of natural resources
| Autor: | Milena Kiatkoski Kim, Ken Wallace, Abbie A. Rogers, Mark Jago |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Value (ethics)
Conservation of Natural Resources Environmental Engineering Management science Computer science Corporate governance media_common.quotation_subject 0208 environmental biotechnology Total economic value 02 engineering and technology General Medicine 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Natural resource 020801 environmental engineering Test (assessment) Natural Resources Key (cryptography) Humans Waste Management and Disposal 0105 earth and related environmental sciences Diversity (politics) media_common |
| Zdroj: | Journal of Environmental Management. 256:109955 |
| ISSN: | 0301-4797 |
| DOI: | 10.1016/j.jenvman.2019.109955 |
| Popis: | Understanding how values interact is fundamental to planning the conservation and use of natural resources. However, practitioners who apply value classifications use a diversity of approaches. Does this matter? In answering this question, we propose that well-constructed classifications contribute to planning by: clarifying definitions and underlying concepts; providing a basis for assessing synergies and trade-offs; explaining some ethical constraints, including aspects of governance and power; and providing a framework for cross-cultural analysis. To test these propositions we develop complementary value classifications for end state values and principles together with supporting theory, assumptions, and criteria. The proposed classifications are then compared with alternatives including those based on 'needs', 'capabilities', and total economic value. We find that the alternatives fail against key criteria and this hampers their capacity to fulfil the four roles proposed above. Therefore, we conclude that although value classifications are important and may vary depending on purpose, they need to be well-constructed - that is, supporting theory, assumptions, and criteria should be explicit. |
| Databáze: | OpenAIRE |
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